ABOUT ME
I am a senior researcher at Eurecom, research center at the crossroad of academia and industry. I am working on device centric cooperation for 5G and beyond networks in the group of Prof. David Gesbert.
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I am working on algorithms & analysis of decentralized decision making, using information theoretic tools and Machine Learning. I am especially interested in how ML methods can be/have to be tailored to bring strong improvements to wireless communication problems and, in the reverse directions, how communications theory & algorithms can be used in ML algorithms. I am enthusiastic about solving problems and bridging the gap between theory and practice.
I am very involved in several project on Machine Learning in Communication Systems, in particular a Marie Curie Innovative Training Networks (WINDMILL) actually hiring phd students. I am also organizing a workshop at IEEE ICC 2019 in Shanghai and co-guest editing a JSAC special issue on Machine Learning in Communication Systems.
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Profiles
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CV
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Contact
2004 - 2006
Lycée Fénelon (Paris)
Mathématical and Physics Preparatory course (MPSI/MP*)
EDUCATION
RESEARCH INTERESTS
Multi-user information theory and high SNR performances in wireless networks (DoF)
Estimation in multi-node scenarios
Machine Learning
2006 - 2009
Telecom Bretagne (Brest)
Engineer Degree
2008 - 2010
Technical University Munich (Munich)
Engineer Degrees in Electrical Engineer
2010 - 2013
EURECOM (Sophia-Antipolis)
Doctorate in Electronics and Communications
2006 - 2008
Université de Bretagne Occidental (Brest)
Master 1 in Mathematics